scholarly journals Application of Compressed Sensing in NB-IoT-Based Structural Health Monitoring of Rail Tracks

2020 ◽  
Author(s):  
Xin Li ◽  
Yan Yan ◽  
Pan Hua ◽  
Qing Zhang ◽  
Haitao Wang ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Health Monitoring ◽  
Lamb Wave ◽  
Guided Wave ◽  
Propagation Time ◽  
Rail Track ◽  
Wave Signal ◽  
Ultrasonic Guided Wave ◽  
Channel Bandwidth ◽  
Track Monitoring

Ultrasonic guided-wave testing is one of the most widely used technology for Structural Health Monitoring (SHM) of rail tracks. Currently, cable is the main tool of signal transmission for guided wave-based track monitoring systems. The installation of cables can significantly increase the system cost and restrict the flexibility of system deployment. In recent years, the NB-IoT technology has been gradually appied to the field of SHM, it offers long-range wireless communication among a large-scale sensor networks at the cost of minimum construction and maintenance. One primary obstacle hindering the integration of NB-IoT and guided wave-based track monitoring system is that the limited channel bandwidth of NB-IoT leads to significant transmission delay when transmitting the ultrasonic guided-wave signal sampled at Nyquist rate. In this paper, a Compressed Sensing (CS) framework for NB-IoT based rail-track monitoring system is proposed. The proposed CS framework utilizes the sparsity feature of the ultrasonic lamb-wave signal to enable sub-Nyquist sampling and maintain the feature of the measured signal at a low compression rate. To validate the proposed CS framework, the propagation time of lamb-wave is selected as the performance metrics. The experimental results show that compared with the traditional sampling method, the propagation time of lamb wave in rail track can be accurately extracted when the sampling rate is set to 100kHz, therefore, the channel bandwidth of NB-IoT can meet the delay-free data transmission of a single ultrasonic sensor.

scholarly journals Plate-like structure damage location identification based on Lamb wave baseline-free probability imaging method

2017 ◽  
Vol 9 (1) ◽  
pp. 168781401668570 ◽  
Author(s):  
Dongsheng Li ◽  
Zihao Jing ◽  
Mengdao Jin
Keyword(s):  
Lamb Wave ◽  
Time Window ◽  
Free Probability ◽  
Structural Response ◽  
Guided Wave ◽  
Time Of Arrival ◽  
Imaging Method ◽  
Detection Techniques ◽  
Damage Location ◽  
Ultrasonic Guided Wave

Damage-scattering signal extraction using conventional ultrasonic guided wave–based damage detection techniques requires the measurement of baseline data under pristine condition. This study proposes a baseline-free ultrasonic guided wave damage localization and imaging method based on Lamb wave baseline-free probability imaging method. Although traditional Lamb wave probability imaging can monitor damage location in plate-like structures, the absolute time of arrival and magnitude of the signal are affected by several factors and are therefore difficult to obtain. This study also proposes a probability-based hyperbola diagnostic imaging method that is based on different times of arrival and has no magnitude information. A distributed active sensor network conforming to a pulse-echo configuration and time window functions is developed to separate damage-scattering signals from structural response signals. Continuous wavelet transform is used to calculate the time of flight of damage signal waves. The numerical simulation and experiments validate the effectiveness of the proposed method in identifying damage.

scholarly journals WAVLET-BASED ACTIVE SENSING FOR HEALTH MONITORING OF PLATE STRUCTURES USING BASELINE FREE ULTRASONIC GUIDED WAVE SIGNALS

2013 ◽  
Vol 6 (4) ◽  
pp. 1435-1455 ◽  
Author(s):  
Sauvik Banerjee ◽  
Debadatta Mandal ◽  
Shaik Mahabu Subhani
Keyword(s):  
Health Monitoring ◽  
Guided Wave ◽  
Active Sensing ◽  
Plate Structures ◽  
Ultrasonic Guided Wave

scholarly journals Machine learning at the interface of structural health monitoring and non-destructive evaluation

2020 ◽  
Vol 378 (2182) ◽  
pp. 20190581
Author(s):  
P. Gardner ◽  
R. Fuentes ◽  
N. Dervilis ◽  
C. Mineo ◽  
S.G. Pierce ◽  
...  
Keyword(s):  
Machine Learning ◽  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Ultrasonic Inspection ◽  
Guided Wave ◽  
Structural Health ◽  
Non Destructive Evaluation ◽  
Ultrasonic Guided Wave ◽  
Detection And Identification ◽  
Non Destructive

While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities and consider ultrasonic/guided-wave inspection as a technology at the interface of the two methodologies. It will discuss how data-based/machine learning analysis provides a powerful approach to ultrasonic NDE/SHM in terms of the available algorithms, and more generally, how different techniques can accommodate the very substantial quantities of data that are provided by modern monitoring campaigns. Several machine learning methods will be illustrated using case studies of composite structure monitoring and will consider the challenges of high-dimensional feature data available from sensing technologies like autonomous robotic ultrasonic inspection. This article is part of the theme issue ‘Advanced electromagnetic non-destructive evaluation and smart monitoring’.

Development of On-Line Health Monitoring System for Pipes in Nuclear Power Plants

2006 ◽  
Vol 321-323 ◽  
pp. 441-444
Author(s):  
Heung Seop Eom ◽  
Sa Hoe Lim ◽  
Jae Hee Kim ◽  
Young H. Kim ◽  
Hak Joon Kim ◽  
...  
Keyword(s):  
Health Monitoring ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Guided Waves ◽  
Guided Wave ◽  
Wave System ◽  
Ultrasonic Guided Wave ◽  
On Line ◽  
Series Of Experiments

This study was aimed at developing an effective method and a system for on-line health monitoring of pipes in nuclear power plants by using ultrasonic guided waves. For this purpose we developed a multi-channel ultrasonic guided wave system for a long-range inspection of pipes and a few techniques which can effectively find defects in pipes. To validate the developed system we performed a series of experiments and analyzed the results.

Flexible ultrasonic guided wave sensor development for structural health monitoring

2006 ◽  
Author(s):  
Huidong Gao ◽  
Manton J. Guers ◽  
Joseph L. Rose
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Guided Wave ◽  
Sensor Development ◽  
Structural Health ◽  
Ultrasonic Guided Wave

scholarly journals Extraction of Least-Dispersive Ultrasonic Guided Wave Mode in Rail Track Based on Floquet-Bloch Theory

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Maodan Yuan ◽  
Peter W. Tse ◽  
Weiming Xuan ◽  
Wenjin Xu
Keyword(s):  
Frequency Band ◽  
Complex Geometry ◽  
Numerical Study ◽  
Wave Mode ◽  
Guided Wave ◽  
Fe Model ◽  
Practical Applications ◽  
Rail Track ◽  
Ultrasonic Guided Wave ◽  
Full Cross Section

Ultrasonic guided wave (UGW) has shown great potential in the field of structural health monitoring of rail tracks due to its long-range capability and full cross section coverage. However, the practical application of UGW has been hindered by the complicated signal interpretation because of the natures of multiple modes and dispersion. Therefore, it is desirable that the effective UGW modes with high excitability and least dispersion can be identified and extracted for practical applications. In this paper, a numerical study on the guided wave propagation was carried out on a standard rail with 56E1 profile. Firstly, Floquet-Bloch theory was applied to obtain the dispersion curves of guided wave in a rail. Then, a 3D FE model was built to investigate the UGW propagation along the rail within the frequency range of 0–120 kHz. Wavenumber-frequency analysis method was applied to decompose and identify the propagating UGW modes. With a carefully designed 2D bandpass filter, a specific mode W0 was extracted in the wavenumber-frequency domain. Finally, a frequency band sweep technique was also proposed to get the optimal frequency band to achieve a pure and least-dispersive UGW mode along the rail web. The proposed method provides an effective way to extract efficient UGW modes to assess the integrity of the rail track, as well as other waveguides with complex geometry.

Application of compressed sensing in the guided wave structural health monitoring of switch rails

2021 ◽  
Author(s):  
Zhifeng Tang ◽  
weixu liu ◽  
Rui Yan ◽  
pengfei zhang ◽  
Fuzai Lv ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Compressed Sensing ◽  
Health Monitoring ◽  
Guided Wave ◽  
Structural Health

Ultrasonic Guided Wave Imaging Techniques in Structural Health Monitoring

2009 ◽  
Vol 21 (3) ◽  
pp. 377-384 ◽  
Author(s):  
Fei Yan ◽  
Roger L. Royer ◽  
Joseph L. Rose
Keyword(s):  
Structural Health Monitoring ◽  
Health Monitoring ◽  
Imaging Techniques ◽  
Guided Wave ◽  
Structural Health ◽  
Ultrasonic Guided Wave ◽  
Wave Imaging
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